Table S3: The detail parameters for assessment of seven machine learning models.,,,,,,,,,,,,
model_name,Accuracy,AUC,95% CI,Sensitivity,Specificity,PPV,NPV,Precision,Recall,F1,Threshold,Task
SVM,0.921875,0.91968599,0.8379 - 1.0000,0.777777778,0.97826087,0.933333333,0.918367347,0.933333333,0.777777778,0.848484848,0.280432841,label-train
SVM,1,1,nan - nan,1,1,1,1,1,1,1,0.456477629,label-test
KNN,0.921875,0.936594203,0.8840 - 0.9892,0.722222222,1,1,0.901960784,1,0.722222222,0.838709677,0.4,label-train
KNN,0.75,0.818181818,0.5732 - 1.0000,0.8,0.727272727,0.571428571,0.888888889,0.571428571,0.8,0.666666667,0.2,label-test
DecisionTree,0.984375,0.998188406,0.9941 - 1.0000,0.944444444,1,1,0.978723404,1,0.944444444,0.971428571,1,label-train
DecisionTree,0.875,0.854545455,0.6393 - 1.0000,0.8,1,0.8,0.909090909,0.8,0.8,0.8,1,label-test
RandomForest,0.984375,0.998188406,0.9941 - 1.0000,0.944444444,1,1,0.978723404,1,0.944444444,0.971428571,0.6,label-train
RandomForest,0.8125,0.890909091,0.7230 - 1.0000,1,0.727272727,0.625,1,0.625,1,0.769230769,0.1,label-test
ExtraTrees,0.984375,0.998188406,0.9941 - 1.0000,0.944444444,1,1,0.978723404,1,0.944444444,0.971428571,1,label-train
ExtraTrees,1,1,nan - nan,1,1,1,1,1,1,1,0.4,label-test
XGBoost,0.890625,0.974637681,0.9449 - 1.0000,0.944444444,0.869565217,0.739130435,0.975609756,0.739130435,0.944444444,0.829268293,0.281595767,label-train
XGBoost,0.875,0.863636364,0.6686 - 1.0000,0.8,1,0.8,0.909090909,0.8,0.8,0.8,0.332485229,label-test
LightGBM,0.859375,0.893719807,0.8189 - 0.9685,0.833333333,1,0.714285714,0.930232558,0.714285714,0.833333333,0.769230769,0.560541697,label-train
LightGBM,0.8125,0.754545455,0.3932 - 1.0000,0.8,0.9,0.666666667,0.9,0.666666667,0.8,0.727272727,0.178726963,label-test